being-aerys

being-aerys's Stars

• pyscript/pyscript

  PyScript is an open source platform for Python in the browser. Try PyScript: https://pyscript.com Examples: https://tinyurl.com/pyscript-examples Community: https://discord.gg/HxvBtukrg2

  Language:Python18.1k1728051.4k

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook17k4663304.2k

• ctgk/PRML

  PRML algorithms implemented in Python

  Language:Jupyter Notebook11.5k416243.3k

• khangich/machine-learning-interview

  Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

  10.1k22441.6k

• chiphuyen/machine-learning-systems-design

  A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

  Language:HTML9.2k303101.4k

• amitness/learning

  A log of things I'm learning

  6.4k1990850

• yandexdataschool/Practical_RL

  A course in reinforcement learning in the wild

  Language:Jupyter Notebook6k2101861.7k

• tsiege/Tech-Interview-Cheat-Sheet

  Studying for a tech interview sucks. Here's an open source cheat sheet to help

  Language:TypeScript4.3k857984

• sweetice/Deep-reinforcement-learning-with-pytorch

  PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

  Language:Python4.1k3634861

• kojino/120-Data-Science-Interview-Questions

  Answers to 120 commonly asked data science interview questions.

  3.7k12841.3k

• fastai/course-nlp

  A Code-First Introduction to NLP course

  Language:Jupyter Notebook3.4k131331.5k

• towhee-io/towhee

  Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

  Language:Python3.3k29666254

• Sroy20/machine-learning-interview-questions

  This repository is to prepare for Machine Learning interviews.

  1.5k831392

• rasbt/stat479-machine-learning-fs19

  Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison

  Language:Jupyter Notebook7281253243

• ibrahimjelliti/Deeplearning.ai-Natural-Language-Processing-Specialization

  This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

  Language:Jupyter Notebook7253125496

• rasbt/stat453-deep-learning-ss20

  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)

  Language:Jupyter Notebook562362161

• rasbt/stat451-machine-learning-fs20

  STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)

  Language:Jupyter Notebook406201204

• jaromiru/AI-blog

  Accompanying repository for Let's make a DQN / A3C series.

  Language:Python3932320173

• omerbsezer/Generative_Models_Tutorial_with_Demo

  Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

  Language:Jupyter Notebook33216040

• rlcode/per

  Prioritized Experience Replay (PER) implementation in PyTorch

  Language:Python31012876

• RchalYang/torchrl

  Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

  Language:Python2174221

• xuanlinli17/CS285_Fa19_Deep_Reinforcement_Learning

  My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments

  Language:Python1173436

• prodillo/Machine-Learning-Resources

  10416159

• rchavezj/Cracking_The_Machine_Learning_Interview

  (Under Construction) I am currently writing a solution from the Medium article "Cracking the Machine Learning Interview," written by Subhrajit Roy. In the past year since the article went public, Subhrajit has only written down the questions with no update on the solutions. I plan on finishing the war. I may add more questions outside of the articles domain. No one else on the internet has written down a solution for machine learning interview, an opportunity I want to take advantage of.

  875031

• nitsuga1986/machine-learning-nd-portfolio

  Machine Learning Engineer Nanodegree portfolio, which includes projects and their notebooks/reports.

  Language:Jupyter Notebook433018

• fylein/sageintacct-sdk-py

  Python SDK to access Sage Intacct web services

  Language:Python2641728

• davidsandberg/rl_ssms

  State Space Models for Reinforcement Learning in Tensorflow

  Language:Jupyter Notebook194104

• ritakurban/Practical-Data-Science

  A set of Data Science projects with Medium blogposts.

  Language:Jupyter Notebook174127

• aishwaryaprabhat/machine_learning_dockerized

  A repo to demonstrate how to 'dockerize' a machine learning solution

  Language:Jupyter Notebook2204

• kjkrupal/Online-Learning-using-Perceptron

  Standard perceptron with passive aggressive weight update and averaged perceptron implementation

  Language:Python1200